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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: VietAI/vit5-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: mrc-vit5-dsc
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # mrc-vit5-dsc
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+
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+ This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6093
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+ - Exact Match: 0.7382
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+ - F1: 0.8663
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 6
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
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+ | 0.7044 | 1.0 | 4240 | 0.6239 | 0.6669 | 0.8277 |
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+ | 0.5249 | 2.0 | 8480 | 0.5740 | 0.7000 | 0.8584 |
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+ | 0.3262 | 3.0 | 12720 | 0.7052 | 0.7215 | 0.8609 |
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+ | 0.2361 | 4.0 | 16960 | 1.1596 | 0.7305 | 0.8601 |
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+ | 0.1454 | 5.0 | 21200 | 1.6093 | 0.7382 | 0.8663 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.2.1
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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